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Finding vertex-surjective graph homomorphisms

Golovach, P.A.; Lidicky, B.; Martin, B.; Paulusma, D.

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Authors

P.A. Golovach

B. Lidicky

B. Martin



Abstract

The Surjective Homomorphism problem is to test whether a given graph G called the guest graph allows a vertex-surjective homomorphism to some other given graph H called the host graph. The bijective and injective homomorphism problems can be formulated in terms of spanning subgraphs and subgraphs, and as such their computational complexity has been extensively studied. What about the surjective variant? Because this problem is NP-complete in general, we restrict the guest and the host graph to belong to graph classes G and H , respectively. We determine to what extent a certain choice of G and H influences its computational complexity. We observe that the problem is polynomial-time solvable if H is the class of paths, whereas it is NP-complete if G is the class of paths. Moreover, we show that the problem is even NP-complete on many other elementary graph classes, namely linear forests, unions of complete graphs, cographs, proper interval graphs, split graphs and trees of pathwidth at most 2. In contrast, we prove that the problem is fixed-parameter tractable in k if G is the class of trees and H is the class of trees with at most k leaves, or if G and H are equal to the class of graphs with vertex cover number at most k.

Citation

Golovach, P., Lidicky, B., Martin, B., & Paulusma, D. (2012). Finding vertex-surjective graph homomorphisms. Acta Informatica, 49(6), 381-394. https://doi.org/10.1007/s00236-012-0164-0

Journal Article Type Article
Publication Date Sep 1, 2012
Deposit Date Mar 11, 2013
Publicly Available Date Apr 17, 2013
Journal Acta Informatica
Print ISSN 0001-5903
Electronic ISSN 1432-0525
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 49
Issue 6
Pages 381-394
DOI https://doi.org/10.1007/s00236-012-0164-0
Public URL https://durham-repository.worktribe.com/output/1465373

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Copyright Statement
The original publication is available at www.springerlink.com





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